Adoption of Artificial Intelligence in Rehabilitation: Perceptions, Knowledge, and Challenges Among Healthcare Providers

Healthcare, Journal Year: 2025, Volume and Issue: 13(4), P. 350 - 350

Published: Feb. 7, 2025

The current literature reveals a gap in understanding how rehabilitation professionals, such as physical and occupational therapists, perceive prepare to implement artificial intelligence (AI) their practices. Therefore, we conducted cross-sectional observational study assess the perceptions, knowledge, willingness of healthcare providers AI practice. This was Saudi Arabia, with data collected from 430 therapy professionals via an online SurveyMonkey questionnaire between January March 2024. survey assessed demographics, knowledge skills, perceived challenges. Data were analyzed using Statistical Package for Social Science (SPSS 27) DATAtab (version 2025), frequencies, percentages, nonparametric tests used examine relationships variables. majority respondents (80.9%) believed that would be integrated into future, 78.6% seeing significantly impacting work. While 61.4% thought reduce workload enhance productivity, only 30% expressed concerns about endangering profession. A lack formal training has commonly been reported, social media platforms being respondents' primary source knowledge. Despite these challenges, 85.1% eagerness learn use AI. Organizational preparedness significant barrier, 45.6% reporting organizations lacked strategies. There insignificant differences mean rank perceptions or based on gender, years experience, qualification degree respondents. results demonstrated strong interest implementation therapy. confidence AI's future utility readiness incorporate it However, organizational preparedness, identified. Overall, findings highlight potential revolutionize while underscoring necessity address fully realize this potential.

Language: Английский

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AI-Driven Predictive Modeling for Disease Prevention and Early Detection

SLAS TECHNOLOGY, Journal Year: 2025, Volume and Issue: unknown, P. 100263 - 100263

Published: March 1, 2025

Language: Английский

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The Research Status and Hotspots of Learning Burnout: A Visualization Analysis Based on CiteSpace

Salud Ciencia y Tecnología - Serie de Conferencias, Journal Year: 2025, Volume and Issue: 4, P. 1535 - 1535

Published: March 3, 2025

Introduction: recent years have seen a surge in research on learning burnout, encompassing all levels of education from compulsory to higher education. Objective: the study aims map status, hotspots, and emerging trends burnout using CiteSpace, offering insights into key areas focus future directions.Methods: employs visual analysis tool, systematically analyze literature burnout. Results: shows steady increase volume with significant after 2019. This uptick is attributed shifts educational policies rise online learning. Although core group authors this field still developing, contributors, especially Europe Asia, significantly advanced field. The most highly cited was published journal Annals Internal Medicine. keyword co-occurrence mapping reflects broader related clustering indicated that current hotspots are mainly focused conceptual definition structural dimensions influencing factors mechanisms action, intervention prevention strategies, consequences effects, areas. Conclusions: should deepening exploration its factors, long-term while fostering interdisciplinary collaboration refine theoretical frameworks improve practical interventions.

Language: Английский

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Patient Perspectives and Outcomes

Published: Jan. 1, 2025

Language: Английский

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Technological Innovations in Rehabilitation: Artificial Intelligence

Published: Jan. 1, 2025

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Future Directions and Innovations

Published: Jan. 1, 2025

Language: Английский

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Animal Models of Intervertebral Disc Diseases: Advantages, Limitations, and Future Directions

Neurology International, Journal Year: 2024, Volume and Issue: 16(6), P. 1788 - 1818

Published: Dec. 9, 2024

Animal models are valuable tools for studying the underlying mechanisms of and potential treatments intervertebral disc diseases. In this review, we discuss advantages limitations animal diseases, focusing on lumbar spinal stenosis, herniation, degeneration, as well future research directions. The that they enable controlled experiments, long-term monitoring to study natural history disease, testing treatments. However, also have limitations, including species differences, ethical concerns, a lack standardized protocols, short lifespans. Therefore, ongoing focuses improving model standardization incorporating advanced imaging noninvasive techniques, genetic models, biomechanical analyses overcome these limitations. These directions hold our understanding diseases developing new Overall, although can provide insights into pathophysiology their should be carefully considered when interpreting findings from studies.

Language: Английский

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Construction of a Continuous Improvement System for Perioperative Medical Quality and Patient Safety

NEJM Catalyst, Journal Year: 2024, Volume and Issue: 5(s1)

Published: March 14, 2024

Language: Английский

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Knowledge Mapping on the Research and Development of New Power System

Published: Dec. 13, 2024

Language: Английский

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